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Methods in Pharmacology and Toxicology

Ecotoxicological QSARs

Editors: Roy, Kunal (Ed.)

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  • Focuses on computational modeling of the ecotoxicity of chemicals
  • Features practical advice for conducting QSAR research
  • Presents methods, protocols, case studies, and more
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eBook $229.00
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  • ISBN 978-1-07-160150-1
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  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $299.99
price for USA in USD
  • ISBN 978-1-07-160149-5
  • with online files
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

This volume focuses on computational modeling of the ecotoxicity of chemicals and presents applications of quantitative structure–activity relationship models (QSARs) in the predictive toxicology field in a regulatory context. The extensive book covers a variety of protocols for descriptor computation, data curation, feature selection, learning algorithms, validation of models, applicability domain assessment, confidence estimation for predictions, and much more, as well as case studies and literature reviews on a number of hot topics. Written for the Methods in Pharmacology and Toxicology series, chapters include the kind of practical advice that is essential for researchers everywhere. 
Authoritative and comprehensive, Ecotoxicological QSARs is an ideal source to update readers in the field with current practices and introduce to them new developments and should therefore be very useful for researchers in academia, industries, and regulatory bodies.

About the authors

Dr. Kunal Roy is a Professor in the Department of Pharmaceutical Technology, Jadavpur University, Kolkata, India. He has been a recipient of Commonwealth Academic Staff Fellowship (University of Manchester, 2007) and Marie Curie International Incoming Fellowship (University of Manchester, 2013). The fields of his research interest are Quantitative Structure-Activity Relationship (QSAR) and Chemometric Modeling with application in Drug Design and Ecotoxicological Modeling. Dr. Roy has published about 300 research articles in refereed journals (current SCOPUS h index 40; SCOPUS Author ID 56962764800). He has also coauthored two QSAR related books (Academic Press and Springer), edited five QSAR books (Springer, Academic Press and IGI Global) and published twelve book chapters. Dr. Roy is a Co-Editor-in-Chief of Molecular Diversity (Springer Nature) and Editor-in-Chief of International Journal of Quantitative Structure-Property Relationships (IGI Global). He also serves in different capacities in the Editorial Boards of several International Journals.

Table of contents (32 chapters)

Table of contents (32 chapters)
  • Ecotoxicological Risk Assessment in the Context of Different EU Regulations

    Pages 3-25

    García-Fernández, Antonio Juan

  • A Brief Introduction to Quantitative Structure-Activity Relationships as Useful Tools in Predictive Ecotoxicology

    Pages 27-53

    Aher, Rahul Balasaheb (et al.)

  • Best Practices for Constructing Reproducible QSAR Models

    Pages 55-75

    Nantasenamat, Chanin

  • Wildlife Sentinels for Human and Environmental Health Hazards in Ecotoxicological Risk Assessment

    Pages 77-94

    García-Fernández, Antonio Juan (et al.)

  • Importance of Data Curation in QSAR Studies Especially While Modeling Large-Size Datasets

    Pages 97-109

    Ambure, Pravin (et al.)

Buy this book

eBook $229.00
price for USA in USD (gross)
  • ISBN 978-1-07-160150-1
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $299.99
price for USA in USD
  • ISBN 978-1-07-160149-5
  • with online files
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Ecotoxicological QSARs
Editors
  • Kunal Roy
Series Title
Methods in Pharmacology and Toxicology
Copyright
2020
Publisher
Springer US
Copyright Holder
Springer Science+Business Media, LLC, part of Springer Nature
eBook ISBN
978-1-07-160150-1
DOI
10.1007/978-1-0716-0150-1
Hardcover ISBN
978-1-07-160149-5
Series ISSN
1557-2153
Edition Number
1
Number of Pages
XXI, 830
Number of Illustrations
55 b/w illustrations, 166 illustrations in colour
Topics